There is an increasing gap between the hype surrounding artificial intelligence and the actual benefits it delivers for businesses. Studies indicate that up to 95% of AI pilot projects fail, primarily due to weak data strategies and insufficient foundations. Many companies struggle with unstructured, complex, and hard-to-access data, which hinders effective AI deployment.
To fully realize AI’s potential, organizations must implement robust data management practices, including data classification, impact assessments, and data hygiene. Starting with small, well-defined use cases helps build trust and produces measurable results, laying the groundwork for successful AI integration.